• Journal of Korean Society of Transportation
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• v.32 no.2
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• pp.152-161
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• 2014

The total boarding and alighting time models have been developed by applying the multiple regression analysis with three variables; numbers of boarding or alighting passengers, non-sitting passengers, and the step-height from the ground. Such variables have influenced to the total boarding time model with the most influential in the numbers of boarding or alighting passengers and the least in the step-height. On the total alighting time model, the numbers of alighting passengers are the most strongest while the step-heights the least. The total boarding and alighting time models can be used in practices for the prediction of current and future bus stops' capacities in TOD-based towns.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.15 no.6
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• pp.62-70
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• 2016

Increased bus traffic leads inefficiency at near-side bus stops in median exclusive bus lane because buses are waiting for a signal does not have a vehicle arrived. This study suggests a method for estimating a proper spacing between bus stops and signalized intersection to prevent the inefficiency. We modified the Poisson model for a proper spacing by using both dwell time and waiting time of signal instead of using dwell time only. The waiting time of signal changes by spacing and it was measured using micro simulation program. The iterative algorithm using the change of waiting time of signal was also suggested. By applying the proposed method, measure waiting time by simulation and iterative algorithm, the spacing of near-side bus stops, proper spacing is suggested according to flow rate level.

• Proceedings of the Korea Information Processing Society Conference
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• 2016.10a
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• pp.527-528
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• 2016

현대인들이 가장 많이 사용하는 대중교통은 버스이다. 이에 DB를 통해 많은 이용횟수를 보이는 출, 퇴근시간대에 급행버스를 배치하여 보다 편리한 생활을 위해 다음과 같은 프로젝트를 진행하게 되었다. 서울시를 중심으로 이용객의 시간별, 일별, 월별 승하차 인원을 조사하고 지역인구와 승하차 인원의 연관관계를 탐색하였다.

• Journal of Korean Society of Transportation
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• v.28 no.6
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• pp.85-97
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• 2010

The present study aims at estimating the model of bus bunching duration along with its influential determinants in an attempt to understand the status of bus bunching being created by buses from various routes converging into one bus stop. To do so, the duration analysis, a well-known survival analysis, was adopted in order to capture the distribution of duration time as for 8 base lines, accordingly developing the model best fit for weibull distribution. Key attention to draw out the duration time model for bus bunching phenomena was laid, by analyzing 18 impact factors, on such criterion variables as number of berth, number of bus line in each berth and maximum capacity of on-and-off passengers in each line. Comparison in two typical types of bus lane was made between bus-only center lane(Dobong Mia-ro) and normal street-side lane(Tongil Euiju-ro). In this regard, the study, based on the model as above, suggested appropriate alternatives to improve the bus operation by effectively controlling bus bunching.

• Journal of Korean Society of Transportation
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• v.28 no.1
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• pp.125-134
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• 2010

It is occurred bus arrival time errors when a bus arrives at a bus stop because of a variety of traffic condition such as traffic signal cycle, the time to get on and off a bus, a bus-only lane and so on. In this paper, bus delay time which is occurred as the result of traffic condition was estimated with Markov Chain process and bus arrival time at each bus stop was predicted with it. As the result of the study, it is confirmed to improve accuracy than the method of bus arrival time prediction with existing method (weighed moving average method) in case predicting bus arrival time using 7 by 7 and 9 by 9 matrixes.

• Journal of Korean Society of Transportation
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• v.24 no.1 s.87
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• pp.97-108
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• 2006

At present, Korean many cities depend on subjective judgements of experts to estimate the number of bus-stops and inter-stop space. To get reliable results by using more objective procedure, we search for old studies and models, but they don't concern alighting demands and a random demand distributions. Our study recognize and overcome these limitation. We devide the demand into boarding and alighting demands, and define the model that can estimate flexibly optimal number of bus-stop and inter-stop space on each segment by the demand distribution. Also we apply this new model to a simple example route having various demand distributions As a result, the number of bus-stop on each segment can be estimate flexibly in proportion to boarding or alighting demand by using this model.

• Proceedings of the Korea Information Processing Society Conference
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• 2020.11a
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• pp.526-527
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• 2020

본 연구는 대중교통 활용도를 높이고자 효율적인 버스 환승지 추천 서비스를 설계한다. 제주데이터 허브에서 입수한 승하차데이터를 처리하여 승객수와 버스의 정류장 도착시간 등을 예측함은 물론 인터넷 연결을 통해 버스정보시스템과 연동하여 현재의 교통상황을 실시간으로 입수하여 효율적인 환승지를 추천한다. 승객은 변동되는 교통상황에 따라 이동중에도 더 좋은 환승 노선으로 변경할 수 있으며 데이터센터 관점에서는 축적되고 있는 버스 데이터의 활용도도 높일 수 있다.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.40 no.6
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• pp.603-611
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• 2020

This study collected and analyzed transportation card data in order to better understand the operation and usage of city buses in Ulsan Metropolitan City in Korea. The analysis used quantitative and qualitative indicators according to the characteristics of the data, and also the categories were classified as general status, operational status, and satisfaction. The existing city bus survey method has limitations in terms of survey scale and in the survey process itself, which incurs various types of errors as well as requiring a lot of time and money to conduct. In particular, the bus means indicators calculated using transportation card data were analyzed to compensate for the shortcomings of the existing operational status survey methods that rely entirely on site surveys. The city bus index calculated by using the transportation card data involves quantitative operation status data related to the user, and this results in the advantage of being able to conduct a complete survey without any data loss in the data collection process. We took the transportation card data from the entire city bus network of Ulsan Metropolitan City on Wednesday April 3, 2019. The data included information about passenger numbers/types, bus types, bus stops, branches, bus operators, transfer information, and so on. From the data analysis, it was found that a total of 234,477 people used the city bus on the one day, of whom 88.6% were adults and 11.4% were students. In addition, the stop with the most passengers boarding and alighting was Industrial Tower (10,861 people), A total of 20,909 passengers got on and off during the peak evening period of 5 PM to 7 PM, and 13,903 passengers got on and off the No. 401 bus route. In addition, the top 26 routes in terms of the highest number of passengers occupied 50% of the total passengers, and the top five bus companies carried more than 70% of passengers, while 62.46% of the total routes carried less than 500 passengers per day. Overall, it can be said that this study has great significance in that it confirmed the possibility of replacing the existing survey method by analyzing city bus use by using transportation card data for Ulsan Metropolitan City. However, due to limitations in the collection of available data, analysis was performed only on one matched data, attempts to analyze time series data were not made, and the scope of analysis was limited because of not considering a methodology for efficiently analyzing large amounts of real-time data.

• Journal of Industrial Convergence
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• v.18 no.1
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• pp.25-33
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• 2020

South Korea entered an aged society phase in 2017 with the elderly accounting for 14% or higher of the entire population. It is expected to enter a super-aged society phase in 2026. The mobility handicapped, including the disabled and the elderly, are expected to grow continuously, and the demand for transport service for the mobility handicapped will definitely increase further. Thus, there is thus a need for various research to increase the utilization rate of low-floor buses among the mobility handicapped. This study analyzed the locations of getting on and off transportation means, time of departure and arrival, purpose of use, and frequency of use by the day among the mobility handicapped by making use of the information about their use of special transport service run by the mobility support center for the mobility handicapped. The study then proposed a method of selecting locations for low-floor bus stops to reflect the distribution and need of getting on and off transportation means among the mobility handicapped with such spatial analysis techniques as geocoding, overlapping analysis, buffer analysis, and generate tessellations. Finally, the study selected 228 locations for low-floor bus stops in Cheonan and reported a need to add 35 low-floor bus stops after eliminating the ones where the locations overlapped the old ones.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.10
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• pp.1941-1948
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• 2016

The incident during commuting to school happened frequently in these days, such that the government announced the student commuting safety policy for addressing to implement the safety management system of the unsafer school commuting zone. In this paper, a commuting tracking system is proposed that notifies the location of vehicles and the boarding status of student using BLE beacon and smart phone GPS function. The commuting tracking system that gets the data from the system server of driver's smart phone GPS location and UUID of the beacon which had provided students has configured to provide notifications to parents and related administrators. It provides real-time information about whether a student boarding, boarding times and bus locations for parents and administrators. It verifies the disembarking time for each student and also provides to driver to secure if any student tries to board the wrong school bus and if any students is left behind in the bus.